Name: Gemma 4 26B A4B IT API
Brand: Google

Overview

What is Gemma 4 26B A4B IT API?

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts open model from Google.

Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 262,144 tokens / Max output: 128,000 tokens
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

Gemma 4 26B A4B IT API Pricing
- Input: $0.195 / 1M tokens
- Output: $0.78 / 1M tokens

Where to Use Gemma 4 26B A4B IT

Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.

Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.

Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.

Code Sample
[embed]

Uptime and performance

Uptime (24h): 100%
Uptime (7d): 100%
Availability (24h): 100%
Error rate (24h): 0%

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

Chatbots and conversational AI for customer service, virtual assistants, or interactive applications.

Text summarization to generate concise summaries of text corpora, research papers, or reports.

Image data extraction to extract, interpret, and summarize visual data for text communications.

Audio processing and interaction for analyzing and interpreting audio inputs, enabling voice-driven interactions and transcriptions.

How to use Gemma 4 26B A4B IT API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to google/gemma-4-26b-a4b-it.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "google/gemma-4-26b-a4b-it",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "google/gemma-4-26b-a4b-it",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/gemma-4-26b-a4b-it","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.